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Exploratory Data Analysis Courses

Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.


More to explore:

Popular Exploratory Data Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    From Data to Decisions: Making Predictions with AI

    Skills you'll gain: Data Presentation, Regression Analysis, Statistical Analysis, Statistical Reporting, Correlation Analysis, Technical Communication, Probability & Statistics, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Non-Linear Data Structures

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Persistence and Firebase Integration

    Skills you'll gain: Data Persistence, JSON, User Interface (UI), User Interface and User Experience (UI/UX) Design, Database Development, Databases, Interactive Data Visualization, Debugging, Database Management, Application Development, Mobile Development, Real Time Data, Application Programming Interface (API), Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Limits & Derivatives

    Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    P

    Peking University

    算法设计与分析 Design and Analysis of Algorithms

    Skills you'll gain: Algorithms, Pseudocode, Computational Thinking, Combinatorics, Theoretical Computer Science, Mathematical Modeling, Applied Mathematics, Graph Theory, Data Structures, Mathematical Theory & Analysis, Operations Research, Design Strategies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Prompt Engineering, Sustainability Reporting, Database Design, Unsupervised Learning

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
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    E

    EDUCBA

    PySide2 Project - Data Fetching Application

    Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), Program Development, Development Environment, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    R Programming

    Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linux and Bash for Data Engineering

    Skills you'll gain: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Unix, Unix Commands, File Systems, Scripting, Command-Line Interface, Scripting Languages, Remote Access Systems, Data Manipulation, Data Processing, Data Management, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
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    132 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    U

    University of Leeds

    Data Science: How to Plan Projects, Research and Reflect

    Skills you'll gain: General Science and Research, Analytical Skills, Data Science, Communication, Technical Communication, Record Keeping, Critical Thinking

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Healthcare Data Security, Privacy, and Compliance

    Skills you'll gain: Medical Privacy, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Health Information Management, Security Awareness, Encryption, Personally Identifiable Information, Health Care, Health Care Procedure and Regulation, Data Security, Cyber Attacks, Medical Records, Information Privacy, Cloud Computing, Patient Safety

    4.8
    Rating, 4.8 out of 5 stars
    ·
    447 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular exploratory data analysis courses

  • From Data to Decisions: Making Predictions with AI: Vanderbilt University
  • C++: Non-Linear Data Structures: Codio
  • Data Persistence and Firebase Integration: Packt
  • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • 算法设计与分析 Design and Analysis of Algorithms: Peking University
  • Master of Science in Data Science: University of Colorado Boulder
  • PySide2 Project - Data Fetching Application: EDUCBA
  • R Programming: Johns Hopkins University
  • Linux and Bash for Data Engineering: Duke University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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